# STAT 679: Special Topics in Statistics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/STAT_679) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 37fc5a3d18ae94b7d74edd7475386590aac3b335930b2b9ecd0c044b0caeaf58 ### course id STAT 679 ### course uid course\_3b6b5ce408337da83e5e4e44 ### catalog version id 496c431f3b85f0e89ab697a3d6d9aa826e6e84b9551df855431b08d5801c6ad3 ### course number 679 ### subjects * STAT ### title SPECIAL TOPICS IN STATISTICS ### description Special topics in statistics at the master's level. Subject matter varies. ### requirements text Graduate/professional standing or declared in Statistics VISP ### credits min 1 ### credits max 3 ### credit offering ids * 1272:932:024371 * 1272:932:024371.29 * 1272:932:024371.30 ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1d102475dd494d082f0e19590cd5d7b9e721fc161211a7d3d5a07317447979ab ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary STAT 679 covers special topics in statistics at the master's level, with subject matter varying by offering. ### llm topics None recorded. ### llm skills None recorded. ### llm assumed background None recorded. ### llm search phrases * STAT 679 special topics * graduate statistics topics * STAT 679 master's level ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 9f77132bac5226b38270cacccf01d39b446e43293a701a47ce41c3518efc3283 #### course id STAT 679 #### current instructors ```json [ { "instructor_uid": "instructor_de7437eae3d2b6ae3e16cc25", "message": "No course-specific reviews available", "name": "Garvesh Raskutti", "review_status": "no_course_reviews", "rmp_instructor_id": "rmp:1870984", "summary": [ { "citations": [ { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" } ], "text": "Recent recorded grades — Fall 2015: 4.00 GPA, 100.0% A/AB (n=29 letter grades); Spring 2017: 3.88 GPA, 100.0% A/AB (n=21 letter grades)." } ] }, { "instructor_uid": "instructor_7f1ec350dd38b38a0d4762c0", "message": "No course-specific reviews available", "name": "Matthias Katzfuss", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] }, { "instructor_uid": "instructor_e84a7ce0623963455f431057", "message": "No course-specific reviews available", "name": "Zexuan Sun", "review_status": "no_course_reviews", "rmp_instructor_id": null, "summary": [] } ] ``` #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered true #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 3.81 GPA, 87.5% A/AB (n=16 letter grades); Spring 2025: 3.92 GPA, 100.0% A/AB (n=6 letter grades); Spring 2026: 3.93 GPA, 100.0% A/AB (n=15 letter grades). ```json { "citations": [ { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history GARVESH RASKUTTI is recorded teaching in Fall 2015, Spring 2017. Recorded history may be incomplete and does not establish a future schedule. ```json { "citations": [ { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1162", "type": "grade" }, { "course_id": "STAT 679", "run_id": "20260907T155543-ce3781c4", "section_number": 1, "source_course_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "source_record": { "entity_id": "59a50ebd-dedf-3938-b484-96359a4492f4", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "section_grades_latest", "term_id": "1174", "type": "grade" } ] } ``` #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "Graduate/professional standing or declared in Statistics VISP", "id": "n0", "kind": "any" }, { "children": [], "condition": "Graduate/professional standing", "course": null, "evidence": "Graduate/professional standing", "id": "n1", "kind": "condition" }, { "children": [], "condition": "declared in Statistics VISP", "course": null, "evidence": "declared in Statistics VISP", "id": "n2", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors ```json [ { "instructor_uid": "instructor_de7437eae3d2b6ae3e16cc25", "source": "enrollment", "source_instructor_id": "raskutti", "identity_basis": "netid", "identity_status": "source_identified", "name": "Garvesh Raskutti", "email": "RASKUTTI@STAT.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 28, "quality": 3.68, "difficulty": 3.79, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:1870984", "source_url": "https://www.ratemyprofessors.com/professor/1870984", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:40.338784+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 23, "quality": 3.74, "difficulty": 3.78, "quality_count": 23, "difficulty_count": 23 }, "course_e593b86c370a0c671af794df": { "review_count": 3, "quality": 3, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6715357431444153, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GARVESH_RASKUTTI" }, { "instructor_uid": "instructor_7f1ec350dd38b38a0d4762c0", "source": "enrollment", "source_instructor_id": "mkatzfuss", "identity_basis": "netid", "identity_status": "source_identified", "name": "Matthias Katzfuss", "email": "MKATZFUSS@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MATTHIAS_KATZFUSS" }, { "instructor_uid": "instructor_e84a7ce0623963455f431057", "source": "enrollment", "source_instructor_id": "zsun329", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zexuan Sun", "email": "ZEXUAN.SUN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/ZEXUAN_SUN" } ] ``` ### offerings ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:024371", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1272", "source_course_id": "024371", "source_subject_id": "932", "title": "Special Topics in Statistics", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:024371.29", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1272", "source_course_id": "024371.29", "source_subject_id": "932", "title": "Interpretable Machine Learning", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring" }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "offering_id": "1272:932:024371.30", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1272", "source_course_id": "024371.30", "source_subject_id": "932", "title": "Bayesian Stats&Machine Lrning", "credits_min": 1, "credits_max": 3, "typically_offered": "Fall, Spring" } ] ``` ### sections ```json [ { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36531", "term_id": "1272", "source_section_id": "36531", "identity_basis": "class_number", "section_number": "004", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 4, "enrolled": 1, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" }, { "run_id": "20260907T155543-ce3781c4", "observed_at": "2026-09-07 15:55:43.033547+00:00", "section_uid": "uw-section:1272:36533", "term_id": "1272", "source_section_id": "36533", "identity_basis": "class_number", "section_number": "001", "section_type": "LEC", "instruction_mode": "Classroom Instruction", "capacity": 15, "enrolled": 0, "waitlisted": 0, "start_date": "2026-09-02 05:00:00+00:00", "end_date": "2026-12-09 06:00:00+00:00" } ] ``` ### grade instructors ```json [ { "instructor_uid": "instructor_a1a6312441a09a9ee137f7b1", "source": "madgrades", "source_instructor_id": "5214164", "identity_basis": "source_id", "identity_status": "source_identified", "name": "GARVESH RASKUTTI", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 28, "quality": 3.68, "difficulty": 3.79, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:1870984", "source_url": "https://www.ratemyprofessors.com/professor/1870984", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:40.338784+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 23, "quality": 3.74, "difficulty": 3.78, "quality_count": 23, "difficulty_count": 23 }, "course_e593b86c370a0c671af794df": { "review_count": 3, "quality": 3, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6715357431444153, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.286, "graded": 915, "counts": [ 398, 180, 146, 81, 52, 40, 18 ], "sections": 57 }, "instructor_url": "/instructors/GARVESH_RASKUTTI--instructor_a1a6312441a09a9ee137f7b1" }, { "instructor_uid": "instructor_0fa00489e3ab3e94b9e52d89", 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"source_identified", "name": "JESSI KEHE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.576, "graded": 321, "counts": [ 170, 105, 16, 15, 7, 1, 7 ], "sections": 16 }, "instructor_url": "/instructors/JESSI_KEHE--instructor_253cce0f28321f783c10482f" }, { "instructor_uid": "instructor_7e0761ae2d1bf9ba824fb055", "source": "madgrades", "source_instructor_id": "6212049", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUAN FRANCISCO MANDUJANO REYES", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.731, "graded": 13, "counts": [ 10, 1, 1, 0, 1, 0, 0 ], "sections": 2 }, "instructor_url": "/instructors/JUAN_FRANCISCO_MANDUJANO_REYES" }, { "instructor_uid": "instructor_4e3d02c381227810f056d301", "source": "madgrades", "source_instructor_id": "6490392", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JOSHUA CAPE", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 6, "quality": 2.5, "difficulty": 3.5, "quality_count": 6, "difficulty_count": 6, "profile_id": "rmp:2835627", "source_url": "https://www.ratemyprofessors.com/professor/2835627", "match_basis": "exact_name", "observed_at": "2026-09-07 16:30:08.006263+00:00", "courses": { "course_821b8b9c055e8ecd0e25a516": { "review_count": 1, "quality": 5, "difficulty": 1, "quality_count": 1, "difficulty_count": 1 } }, "bayesian_quality": 3.392065987343535, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.533, "graded": 224, "counts": [ 88, 77, 51, 6, 1, 0, 1 ], "sections": 19 }, "instructor_url": "/instructors/JOSHUA_CAPE--instructor_4e3d02c381227810f056d301" }, { "instructor_uid": "instructor_6ef6ba5b00788b0ab8154cde", "source": "madgrades", "source_instructor_id": "1079018", "identity_basis": "source_id", "identity_status": "source_identified", "name": "JUN SHAO", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.641, "graded": 619, "counts": [ 325, 153, 135, 3, 3, 0, 0 ], "sections": 78 }, "instructor_url": "/instructors/JUN_SHAO--instructor_6ef6ba5b00788b0ab8154cde" }, { "instructor_uid": "instructor_8e924d59a99dc4ba0b8501dc", "source": "madgrades", "source_instructor_id": "1426304", "identity_basis": "source_id", "identity_status": "source_identified", "name": "ZHANG CHUNMING", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.521, "graded": 1354, "counts": [ 617, 372, 243, 88, 21, 6, 7 ], "sections": 86 }, "instructor_url": "/instructors/ZHANG_CHUNMING--instructor_8e924d59a99dc4ba0b8501dc" }, { "instructor_uid": "instructor_9d75a2239e5d230b3c0bc246", "source": "madgrades", "source_instructor_id": "6887485", "identity_basis": "source_id", "identity_status": "source_identified", "name": "MD MAHEDI HASAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.889, "graded": 9, "counts": [ 7, 2, 0, 0, 0, 0, 0 ], "sections": 1 }, "instructor_url": "/instructors/MD_MAHEDI_HASAN--instructor_9d75a2239e5d230b3c0bc246" }, { "instructor_uid": "instructor_7f1ec350dd38b38a0d4762c0", "source": "enrollment", "source_instructor_id": "mkatzfuss", "identity_basis": "netid", "identity_status": "source_identified", "name": "Matthias Katzfuss", "email": "MKATZFUSS@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/MATTHIAS_KATZFUSS" }, { "instructor_uid": "instructor_de7437eae3d2b6ae3e16cc25", "source": "enrollment", "source_instructor_id": "raskutti", "identity_basis": "netid", "identity_status": "source_identified", "name": "Garvesh Raskutti", "email": "RASKUTTI@STAT.WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "ratings": { "review_count": 28, "quality": 3.68, "difficulty": 3.79, "quality_count": 28, "difficulty_count": 28, "profile_id": "rmp:1870984", "source_url": "https://www.ratemyprofessors.com/professor/1870984", "match_basis": "exact_name", "observed_at": "2026-09-07 16:38:40.338784+00:00", "courses": { "course_2a00c702ff402614a950606e": { "review_count": 23, "quality": 3.74, "difficulty": 3.78, "quality_count": 23, "difficulty_count": 23 }, "course_e593b86c370a0c671af794df": { "review_count": 3, "quality": 3, "difficulty": 4.33, "quality_count": 3, "difficulty_count": 3 } }, "bayesian_quality": 3.6715357431444153, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "instructor_url": "/instructors/GARVESH_RASKUTTI" }, { "instructor_uid": "instructor_e84a7ce0623963455f431057", "source": "enrollment", "source_instructor_id": "zsun329", "identity_basis": "netid", "identity_status": "source_identified", "name": "Zexuan Sun", "email": "ZEXUAN.SUN@WISC.EDU", "first_observed_at": "2026-09-07 15:55:43.033547+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "instructor_url": "/instructors/ZEXUAN_SUN" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1162", "term_name": "Fall 2015", "instructors": [ "Garvesh Raskutti" ], "a": 29, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 29, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1164", "term_name": "Spring 2016", "instructors": [ "Bret Larget", "DONGGYU KIM" ], "a": 22, "ab": 10, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 35, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1172", "term_name": "Fall 2016", "instructors": [ "Cecile Ane", "FREDERICK BOEHM", "Karl Rohe" ], "a": 34, "ab": 22, "b": 14, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 71, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1174", "term_name": "Spring 2017", "instructors": [ "Garvesh Raskutti", "John Gillett", "Yong Jae Lee" ], "a": 55, "ab": 10, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 65, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1182", "term_name": "Fall 2017", "instructors": [ "John Gillett", "LIAM JOHNSTON", "YIFAN MEI" ], "a": 52, "ab": 11, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 64, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1184", "term_name": "Spring 2018", "instructors": [ "Bret Larget", "Qin Li" ], "a": 24, "ab": 8, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 34, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1192", "term_name": "Fall 2018", "instructors": [ "CORA ALLEN-COLEMAN", "Cecile Ane", "John Gillett", "Qunying Huang" ], "a": 69, "ab": 4, "b": 6, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 79, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1194", "term_name": "Spring 2019", "instructors": [ "Jun Zhu", "MARIA KAMENETSKY", "Nicolas Garcia Trillos", "Vivak Patel", "YUETIAN LUO" ], "a": 29, "ab": 66, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 97, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1204", "term_name": "Spring 2020", "instructors": [ "Jun Zhu", "MARIA KAMENETSKY", "Qiongshi Lu", "Qunying Huang" ], "a": 27, "ab": 4, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 32, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1212", "term_name": "Fall 2020", "instructors": [ "Cecile Ane", "TZU HSIANG HUNG" ], "a": 18, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1224", "term_name": "Spring 2022", "instructors": [ "Keith Levin", "MARIA KAMENETSKY", "Qiongshi Lu", "ZIJIE ZHAO" ], "a": 30, "ab": 14, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 1, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 47, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1232", "term_name": "Fall 2022", "instructors": [ "Kris Sankaran" ], "a": 16, "ab": 5, "b": 14, "bc": 1, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "JIACHENG MIAO", "Qiongshi Lu", "SARAH LUONGO" ], "a": 2, "ab": 1, "b": 1, "bc": 0, "c": 2, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 6, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1242", "term_name": "Fall 2023", "instructors": [ "Kris Sankaran" ], "a": 19, "ab": 8, "b": 3, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 30, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "JUAN FRANCISCO MANDUJANO REYES", "Jessi Kehe", "Qiongshi Lu" ], "a": 14, "ab": 0, "b": 1, "bc": 0, "c": 1, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 16, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "JUAN FRANCISCO MANDUJANO REYES" ], "a": 5, "ab": 1, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 6, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1262", "term_name": "Fall 2025", "instructors": [ "Joshua Cape", "Jun Shao" ], "a": 0, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 0, "source_aliases": [ "STAT 679" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "STAT 679", "course_uid": "course_3b6b5ce408337da83e5e4e44", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "MD MAHEDI HASAN", "ZHANG CHUNMING" ], "a": 13, "ab": 2, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 15, "source_aliases": [ "STAT 679" ] } ] ``` ### statistics #### gpa 3.78 #### graded 680 #### counts * 458 * 166 * 49 * 1 * 4 * 0 * 2 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_3b6b5ce408337da83e5e4e44-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_3b6b5ce408337da83e5e4e44-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_3b6b5ce408337da83e5e4e44-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_3b6b5ce408337da83e5e4e44-0.json) #### meetings * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_3b6b5ce408337da83e5e4e44-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_3b6b5ce408337da83e5e4e44-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_3b6b5ce408337da83e5e4e44-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_3b6b5ce408337da83e5e4e44-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.7801470588235295 #### count 680 #### university ##### size 5128 ##### gpa Percentile 54 ##### count Percentile 84 ##### median Count 161 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 7 | false | | 2.8–3.2 | 289 | false | | 3.2–3.6 | 1337 | false | | 3.6–4.0 | 3494 | true | #### departments ```json [ { "subject": "STAT", "comparison": { "size": 73, "gpaPercentile": 76, "countPercentile": 74, "medianCount": 337, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 33, "current": false }, { "range": "3.6–4.0", "count": 33, "current": true } ] } } ] ``` ### terms #### 1162 ##### term 1162 ##### gpa 4 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1164 ##### term 1164 ##### gpa 3.7714285714285714 ##### count 35 ##### university ###### size 965 ###### gpa Percentile 75 ###### count Percentile 10 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 37 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 319 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 21, "gpaPercentile": 90, "countPercentile": 0, "medianCount": 69, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 2, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 4, "current": true } ] } } ] ``` #### 1172 ##### term 1172 ##### gpa 3.642857142857143 ##### count 70 ##### university ###### size 991 ###### gpa Percentile 64 ###### count Percentile 53 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 226 | false | | 3.2–3.6 | 353 | false | | 3.6–4.0 | 390 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 92, "countPercentile": 67, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1174 ##### term 1174 ##### gpa 3.923076923076923 ##### count 65 ##### university ###### size 955 ###### gpa Percentile 88 ###### count Percentile 47 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 29 | false | | 2.8–3.2 | 224 | false | | 3.2–3.6 | 332 | false | | 3.6–4.0 | 369 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 22, "gpaPercentile": 95, "countPercentile": 43, "medianCount": 71.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 8, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 5, "current": true } ] } } ] ``` #### 1182 ##### term 1182 ##### gpa 3.8984375 ##### count 64 ##### university ###### size 1025 ###### gpa Percentile 89 ###### count Percentile 45 ###### median Count 69 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 216 | false | | 3.2–3.6 | 369 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 24, "gpaPercentile": 96, "countPercentile": 48, "medianCount": 65.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1184 ##### term 1184 ##### gpa 3.8484848484848486 ##### count 33 ##### university ###### size 1010 ###### gpa Percentile 82 ###### count Percentile 5 ###### median Count 68 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 26 | false | | 2.8–3.2 | 210 | false | | 3.2–3.6 | 355 | false | | 3.6–4.0 | 418 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 25, "gpaPercentile": 88, "countPercentile": 0, "medianCount": 70, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 8, "current": true } ] } } ] ``` #### 1192 ##### term 1192 ##### gpa 3.8987341772151898 ##### count 79 ##### university ###### size 1077 ###### gpa Percentile 86 ###### count Percentile 57 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 22 | false | | 2.8–3.2 | 203 | false | | 3.2–3.6 | 370 | false | | 3.6–4.0 | 481 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 100, "countPercentile": 58, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 17, "current": false }, { "range": "3.6–4.0", "count": 3, "current": true } ] } } ] ``` #### 1194 ##### term 1194 ##### gpa 3.6391752577319587 ##### count 97 ##### university ###### size 1040 ###### gpa Percentile 61 ###### count Percentile 68 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 23 | false | | 2.8–3.2 | 220 | false | | 3.2–3.6 | 342 | false | | 3.6–4.0 | 454 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 23, "gpaPercentile": 77, "countPercentile": 55, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 9, "current": false }, { "range": "3.6–4.0", "count": 7, "current": true } ] } } ] ``` #### 1204 ##### term 1204 ##### gpa 3.90625 ##### count 32 ##### university ###### size 1012 ###### gpa Percentile 76 ###### count Percentile 6 ###### median Count 65.5 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 1 | false | | 2.8–3.2 | 25 | false | | 3.2–3.6 | 301 | false | | 3.6–4.0 | 685 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 92, "countPercentile": 4, "medianCount": 56, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 0, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1212 ##### term 1212 ##### gpa 3.789473684210526 ##### count 19 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1224 ##### term 1224 ##### gpa 3.723404255319149 ##### count 47 ##### university ###### size 1171 ###### gpa Percentile 60 ###### count Percentile 33 ###### median Count 64 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 3 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 173 | false | | 3.2–3.6 | 358 | false | | 3.6–4.0 | 616 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 27, "gpaPercentile": 73, "countPercentile": 4, "medianCount": 74, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 6, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 11, "current": true } ] } } ] ``` #### 1232 ##### term 1232 ##### gpa 3.4594594594594597 ##### count 37 ##### university ###### size 1216 ###### gpa Percentile 33 ###### count Percentile 16 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 14 | false | | 2.8–3.2 | 174 | false | | 3.2–3.6 | 356 | true | | 3.6–4.0 | 670 | false | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 32, "gpaPercentile": 58, "countPercentile": 3, "medianCount": 60.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 11, "current": false }, { "range": "3.2–3.6", "count": 13, "current": true }, { "range": "3.6–4.0", "count": 8, "current": false } ] } } ] ``` #### 1234 ##### term 1234 ##### gpa 3.0833333333333335 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1242 ##### term 1242 ##### gpa 3.7666666666666666 ##### count 30 ##### university ###### size 1295 ###### gpa Percentile 63 ###### count Percentile 0 ###### median Count 67 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 2 | false | | 2.4–2.8 | 11 | false | | 2.8–3.2 | 162 | false | | 3.2–3.6 | 394 | false | | 3.6–4.0 | 726 | true | ##### departments ```json [ { "subject": "STAT", "comparison": { "size": 34, "gpaPercentile": 76, "countPercentile": 0, "medianCount": 55, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 1, "current": false }, { "range": "2.8–3.2", "count": 7, "current": false }, { "range": "3.2–3.6", "count": 13, "current": false }, { "range": "3.6–4.0", "count": 13, "current": true } ] } } ] ``` #### 1244 ##### term 1244 ##### gpa 3.8125 ##### count 16 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1254 ##### term 1254 ##### gpa 3.9166666666666665 ##### count 6 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | #### 1264 ##### term 1264 ##### gpa 3.933333333333333 ##### count 15 ##### departments | subject | comparison | | ------- | ---------- | | STAT | | ### benchmarks #### all ##### school ###### size 5128 ###### gpa 3.6895093920637443 ###### top Share 83.65924580207741 ###### count 161 ##### STAT ###### size 73 ###### gpa 3.581133836536141 ###### top Share 77.52707025572136 ###### count 337 #### terms ##### 1162 ###### school ###### size 954 ###### gpa 3.43726781345039 ###### top Share 68.05645304987395 ###### count 64.5 ###### STAT ###### size 24 ###### gpa 3.394300783591793 ###### top Share 65.51183483352922 ###### count 50.5 ##### 1164 ###### school ###### size 965 ###### gpa 3.46491230798535 ###### top Share 69.92376287143657 ###### count 68 ###### STAT ###### size 21 ###### gpa 3.317795716655057 ###### top Share 62.84642273068802 ###### count 69 ##### 1172 ###### school ###### size 991 ###### gpa 3.465129042641772 ###### top Share 69.42600667567366 ###### count 67 ###### STAT ###### size 25 ###### gpa 3.3324928117291264 ###### top Share 61.945618937548005 ###### count 56 ##### 1174 ###### school ###### size 955 ###### gpa 3.4597947384071412 ###### top Share 69.5290038366363 ###### count 69 ###### STAT ###### size 22 ###### gpa 3.3391231320477925 ###### top Share 62.80825113292103 ###### count 71.5 ##### 1182 ###### school ###### size 1025 ###### gpa 3.474159360325319 ###### top Share 70.34861441764347 ###### count 69 ###### STAT ###### size 24 ###### gpa 3.4023821420534044 ###### top Share 65.90044412864664 ###### count 65.5 ##### 1184 ###### school ###### size 1010 ###### gpa 3.47925290354517 ###### top Share 70.86270937115944 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.460210558661105 ###### top Share 70.42953406269322 ###### count 70 ##### 1192 ###### school ###### size 1077 ###### gpa 3.50327634323125 ###### top Share 72.44641925727845 ###### count 67 ###### STAT ###### size 27 ###### gpa 3.349790708103796 ###### top Share 62.94637491184082 ###### count 74 ##### 1194 ###### school ###### size 1040 ###### gpa 3.4906527436719808 ###### top Share 71.74728845515045 ###### count 67 ###### STAT ###### size 23 ###### gpa 3.3818127863152334 ###### top Share 66.9295898310719 ###### count 79 ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### STAT ###### size 27 ###### gpa 3.6537351147420534 ###### top Share 80.87794592686507 ###### count 56 ##### 1212 ###### school ###### size 1111 ###### gpa 3.5856416028074487 ###### top Share 77.58926748660845 ###### count 68 ###### STAT ###### size 25 ###### gpa 3.4555542540486095 ###### top Share 69.54152339778892 ###### count 100 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### STAT ###### size 27 ###### gpa 3.4650681869904103 ###### top Share 69.88606041738046 ###### count 74 ##### 1232 ###### school ###### size 1216 ###### gpa 3.575457431972425 ###### top Share 77.33712216234007 ###### count 66 ###### STAT ###### size 32 ###### gpa 3.4024781451477413 ###### top Share 66.63145704464162 ###### count 60.5 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### STAT ###### size 25 ###### gpa 3.396227416481204 ###### top Share 66.8429997070879 ###### count 67 ##### 1242 ###### school ###### size 1295 ###### gpa 3.595302892737449 ###### top Share 78.36291889885307 ###### count 67 ###### STAT ###### size 34 ###### gpa 3.4558758327213903 ###### top Share 69.10154863162224 ###### count 55 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### STAT ###### size 29 ###### gpa 3.390846810323202 ###### top Share 64.2629736611174 ###### count 62 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### STAT ###### size 28 ###### gpa 3.4752654121860003 ###### top Share 68.35873780152826 ###### count 70 ##### 1262 ###### school ###### size 1320 ###### gpa 3.628825763035853 ###### top Share 80.21118846327654 ###### count 70 ###### STAT ###### size 29 ###### gpa 3.415022952129974 ###### top Share 64.95385808199006 ###### count 81 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### STAT ###### size 26 ###### gpa 3.343399816676682 ###### top Share 63.23102425546245 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_c29c695b537eb30977ee94b5", "name": "JOHN GILLETT", "count": 154, "terms": [ { "term": "1174", "count": 44, "sections": 1, "gpa": 3.9431818181818183 }, { "term": "1182", "count": 64, "sections": 1, "gpa": 3.8984375 }, { "term": "1192", "count": 46, "sections": 1, "gpa": 3.9782608695652173 } ] }, { "uid": "instructor_5951e20faf5b184925475abf", "name": "YUETIAN LUO", "count": 86, "terms": [ { "term": "1194", "count": 86, "sections": 2, "gpa": 3.622093023255814 } ] }, { "uid": "instructor_4e7dcf69a8ea9529cddc6b67", "name": "CECILE ANE", "count": 80, "terms": [ { "term": "1172", "count": 28, "sections": 1, "gpa": 3.892857142857143 }, { "term": "1192", "count": 33, "sections": 1, "gpa": 3.787878787878788 }, { "term": "1212", "count": 19, "sections": 1, "gpa": 3.789473684210526 } ] }, { "uid": "instructor_abc5e9172ef576551f2478dc", "name": "KRIS SANKARAN", "count": 67, "terms": [ { "term": "1232", "count": 37, "sections": 1, "gpa": 3.4594594594594597 }, { "term": "1242", "count": 30, "sections": 1, "gpa": 3.7666666666666666 } ] }, { "uid": "instructor_4f250f5861deaededb2c6c05", "name": "KUNLING HUANG", "count": 66, "terms": [ { "term": "1192", "count": 46, "sections": 1, "gpa": 3.9782608695652173 }, { "term": "1204", "count": 20, "sections": 1, "gpa": 3.95 } ] }, { "uid": "instructor_137e0a2bf4716146cede6639", "name": "YIFAN MEI", "count": 64, "terms": [ { "term": "1182", "count": 64, "sections": 1, "gpa": 3.8984375 } ] }, { 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"gpa": 4 } ] }, { "uid": "instructor_f3a9e0393923e1347696a228", "name": "SARAH LUONGO", "count": 6, "terms": [ { "term": "1234", "count": 6, "sections": 1, "gpa": 3.0833333333333335 } ] } ] ``` ## following None recorded.